Pengembangan Sistem Pendeteksian Titik Gangguan Pada Jaringan Distribusi Berbasis Spatial

Abstract

When distributing electrical power from the substation to the load center, distribution channels are needed. According to Manokwari area data from the Customer Service Implementation Unit (UP3), interruptions can occur up to 70 times in one month in 2019 and require quite long handling times; however, disruptions are not reported directly. PLN (Persero) Company UP3 Manokwari has six feeders consisting of 13 to 40 distribution transformers. If there is interference, the field staff (Yantek) must follow each feeder route to find the location of the disturbance point. It takes a lot of time and effort. The long-term objective of this research is to detect the location of points and types of disturbances for each distribution network obtained from reports of raw data from the SCADA system for up to eight variables in applications planted on mobile devices based on spatial data, not only for small-scale distribution networks like Manokwari but also for large distribution networks. The study's objectives were to determine the location and sub-location of the disturbance point of each feeder in the distribution network using secondary notification data from the SCADA system displayed in the UP3 Dispatcher for mobile device applications. The algorithm C4.5 is used to obtain a classification pattern of point locations and disturbance types. Dijkstra's algorithm is used to determine the closest route based on spatial data from mobile devices. The research results are very helpful for Yantek officials to find the closest route to the disturbance location with 98.33% accuracy and report disturbances in the distribution network in real time.